Publication Type:

Journal Article


International Journal of Operational Research, Volume 14, Number 3, p.255-270 (2012)



The core issue of this paper is efficient balancing of allocation of customers among multiple distribution centres. Allocation involves clustering of customers in such a way that the associated resources in terms of cost and time are minimal. Ready solution to this problem could be through nondeterministic polynomial (NP)-hard type model. But NP-hard type model is inherently time consuming in arriving at an optimal solution. This paper compares the meta-heuristic genetic algorithm with an improvised heuristic scheme developed from the 2-opt heuristic model. Possible solutions for efficient clustering of customers are then proposed. Copyright © 2012 Inderscience Enterprises Ltd.


cited By (since 1996)0

Cite this Research Publication

Pa Sivakumar, Ganesh, Kb, Anbuudayasankar, S. Pc, Punniyamoorthy, Md, and Koh, S. CeLenny, “Heuristic approach for balanced allocation problem in logistics: A comparative study”, International Journal of Operational Research, vol. 14, pp. 255-270, 2012.